Instructions to use mlboydaisuke/SAM2-hiera-tiny-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use mlboydaisuke/SAM2-hiera-tiny-LiteRT with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- sam2
How to use mlboydaisuke/SAM2-hiera-tiny-LiteRT with sam2:
# Use SAM2 with images import torch from sam2.sam2_image_predictor import SAM2ImagePredictor predictor = SAM2ImagePredictor.from_pretrained(mlboydaisuke/SAM2-hiera-tiny-LiteRT) with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16): predictor.set_image(<your_image>) masks, _, _ = predictor.predict(<input_prompts>)# Use SAM2 with videos import torch from sam2.sam2_video_predictor import SAM2VideoPredictor predictor = SAM2VideoPredictor.from_pretrained(mlboydaisuke/SAM2-hiera-tiny-LiteRT) with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16): state = predictor.init_state(<your_video>) # add new prompts and instantly get the output on the same frame frame_idx, object_ids, masks = predictor.add_new_points(state, <your_prompts>): # propagate the prompts to get masklets throughout the video for frame_idx, object_ids, masks in predictor.propagate_in_video(state): ... - Notebooks
- Google Colab
- Kaggle
Link the card back to its collection and the request box
Browse files
README.md
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Apache-2.0, following the original [SAM 2](https://github.com/facebookresearch/sam2) (Meta,
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Apache-2.0). Conversion by [@john-rocky](https://github.com/john-rocky).
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Apache-2.0, following the original [SAM 2](https://github.com/facebookresearch/sam2) (Meta,
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Apache-2.0). Conversion by [@john-rocky](https://github.com/john-rocky).
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**Want a different model on-device?** [Open a request](https://github.com/john-rocky/on-device-requests) — free, open weights only; the export and its measured numbers get published publicly.
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